diff --git a/packages/core/src/runtime.ts b/packages/core/src/runtime.ts
index 646dc2b0ed..59145d5ec6 100644
--- a/packages/core/src/runtime.ts
+++ b/packages/core/src/runtime.ts
@@ -349,9 +349,9 @@ export class AgentRuntime implements IAgentRuntime {
         this.imageVisionModelProvider =
             this.character.imageVisionModelProvider ?? this.modelProvider;
 
-        elizaLogger.info("Selected model provider:", this.modelProvider);
+        // elizaLogger.info("Selected model provider:", this.modelProvider); duplicated log ln: 343
         elizaLogger.info(
-            "Selected image model provider:",
+            "Selected image vision model provider:",
             this.imageVisionModelProvider
         );
 
diff --git a/packages/plugin-node/src/services/image.ts b/packages/plugin-node/src/services/image.ts
index 56a59c9056..adffe10cb3 100644
--- a/packages/plugin-node/src/services/image.ts
+++ b/packages/plugin-node/src/services/image.ts
@@ -189,6 +189,51 @@ class OpenAIImageProvider implements ImageProvider {
     }
 }
 
+
+class GroqImageProvider implements ImageProvider {
+    constructor(private runtime: IAgentRuntime) {}
+
+    async initialize(): Promise<void> {}
+
+    async describeImage(
+        imageData: Buffer,
+        mimeType: string
+    ): Promise<{ title: string; description: string }> {
+        const imageUrl = convertToBase64DataUrl(imageData, mimeType);
+
+        const content = [
+            { type: "text", text: IMAGE_DESCRIPTION_PROMPT },
+            { type: "image_url", image_url: { url: imageUrl } },
+        ];
+
+        const endpoint =
+            this.runtime.imageVisionModelProvider === ModelProviderName.GROQ
+                ? getEndpoint(this.runtime.imageVisionModelProvider)
+                : "https://api.groq.com/openai/v1/";
+
+        const response = await fetch(endpoint + "/chat/completions", {
+            method: "POST",
+            headers: {
+                "Content-Type": "application/json",
+                Authorization: `Bearer ${this.runtime.getSetting("GROQ_API_KEY")}`,
+            },
+            body: JSON.stringify({
+                model: /*this.runtime.imageVisionModelName ||*/ "llama-3.2-90b-vision-preview",
+                messages: [{ role: "user", content }],
+                max_tokens: 1024,
+            }),
+        });
+
+        if (!response.ok) {
+            await handleApiError(response, "Groq");
+        }
+
+        const data = await response.json();
+        return parseImageResponse(data.choices[0].message.content);
+    }
+}
+
+
 class GoogleImageProvider implements ImageProvider {
     constructor(private runtime: IAgentRuntime) {}
 
@@ -280,6 +325,12 @@ export class ImageDescriptionService
             ) {
                 this.provider = new OpenAIImageProvider(this.runtime);
                 elizaLogger.debug("Using openai for vision model");
+            } else if (
+                this.runtime.imageVisionModelProvider ===
+                ModelProviderName.GROQ
+            ) {
+                this.provider = new GroqImageProvider(this.runtime);
+                elizaLogger.debug("Using Groq for vision model");
             } else {
                 elizaLogger.error(
                     `Unsupported image vision model provider: ${this.runtime.imageVisionModelProvider}`
@@ -291,6 +342,9 @@ export class ImageDescriptionService
         } else if (model === models[ModelProviderName.GOOGLE]) {
             this.provider = new GoogleImageProvider(this.runtime);
             elizaLogger.debug("Using google for vision model");
+        } else if (model === models[ModelProviderName.GROQ]) {
+            this.provider = new GroqImageProvider(this.runtime);
+            elizaLogger.debug("Using groq for vision model");
         } else {
             elizaLogger.debug("Using default openai for vision model");
             this.provider = new OpenAIImageProvider(this.runtime);